Literature DB >> 33771210

Characterization of 29 polymorphic microsatellite markers developed by genomic screening of Sumatran rhinoceros (Dicerorhinus sumatrensis).

Jessica R Brandt1,2, Sinta H Saidah3, Kai Zhao1, Yasuko Ishida1, Isabella Apriyana3, Oliver A Ryder4, Widodo Ramono5, Herawati Sudoyo3, Helena Suryadi3, Peter J Van Coeverden de Groot6, Alfred L Roca7,8.   

Abstract

OBJECTIVE: The Sumatran rhinoceros is critically endangered, with fewer than 100 individuals surviving across its current range. Accurate census estimates of the remaining populations are essential for development and implementation of conservation plans. In order to enable molecular censusing, we here develop microsatellite markers with amplicon sizes of short length, appropriate for non-invasive fecal sampling.
RESULTS: Due to limited sample quantity and potential lack of genome-wide diversity, Illumina sequence reads were generated from two Sumatran rhinoceros samples. Genomic screening identified reads with short tandem repeats and loci that were polymorphic within the dataset. Twenty-nine novel polymorphic microsatellite markers were characterized (A = 2.4; HO = 0.30). These were sufficient to distinguish among individuals (PID < 0.0001), and to distinguish among siblings (PID(sib) < 0.0001). Among rhinos in Indonesia, almost all markers were established as polymorphic and effective for genotyping DNA from fecal samples. Notably, the markers amplified and displayed microsatellite polymorphisms using DNA extracted from 11 fecal samples collected non-invasively from wild Sumatran rhinoceros. These microsatellite markers provide an important resource for a census and genetic studies of wild Sumatran rhinos.

Entities:  

Keywords:  Dicerorhinus sumatrensis; Non-invasive sampling; Short tandem repeats

Mesh:

Year:  2021        PMID: 33771210      PMCID: PMC7995689          DOI: 10.1186/s13104-021-05522-x

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


  12 in total

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Journal:  Mol Ecol       Date:  2007-03       Impact factor: 6.185

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Review 5.  Non-invasive genetic censusing and monitoring of primate populations.

Authors:  Mimi Arandjelovic; Linda Vigilant
Journal:  Am J Primatol       Date:  2018-02-19       Impact factor: 2.371

6.  Estimating the probability of identity among genotypes in natural populations: cautions and guidelines.

Authors:  L P Waits; G Luikart; P Taberlet
Journal:  Mol Ecol       Date:  2001-01       Impact factor: 6.185

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Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

8.  Reconciling apparent conflicts between mitochondrial and nuclear phylogenies in African elephants.

Authors:  Yasuko Ishida; Taras K Oleksyk; Nicholas J Georgiadis; Victor A David; Kai Zhao; Robert M Stephens; Sergios-Orestis Kolokotronis; Alfred L Roca
Journal:  PLoS One       Date:  2011-06-08       Impact factor: 3.240

9.  Automated generation of heuristics for biological sequence comparison.

Authors:  Guy St C Slater; Ewan Birney
Journal:  BMC Bioinformatics       Date:  2005-02-15       Impact factor: 3.169

10.  Rhinos in the Parks: An Island-Wide Survey of the Last Wild Population of the Sumatran Rhinoceros.

Authors:  Wulan Pusparini; Paul R Sievert; Todd K Fuller; Timothy O Randhir; Noviar Andayani
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

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